TOWARD THE DEVELOPMENT OF A MULTIDIRECTIONAL VEGETATION INDEX

被引:15
作者
CHEHBOUNI, A
KERR, YH
QI, J
HUETE, AR
SOROOSHIAN, S
机构
[1] LAB ETUDES & RECH & TELEDETECT SPATIALE, F-31055 TOULOUSE, FRANCE
[2] UNIV ARIZONA, DEPT HYDROL & WATER RESOURCES, TUCSON, AZ 85721 USA
[3] UNIV ARIZONA, DEPT SOIL & WATER SCI, TUCSON, AZ 85721 USA
关键词
D O I
10.1029/93WR03063
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Vegetation-related information is critical for modeling hydrological processes. Remotely sensed spectral data provide powerful means to characterize vegetation status. However, the non-Lambertian behavior of most surfaces induces a large view/Sun angle dependence. Two approaches are possible to correct such contamination. One approach consists of using directional reflectance models; the other consists of normalizing the Sun/view angle effects directly on vegetation indices that have the advantage of being less sensitive to surface anisotropy than individual reflectances. Ground-based multiple view direction/angle measurements made over a semiarid grassland canopy at the Walnut Gulch experiment watershed (Monsoon '90 experiment) were used to develop and to validate a semiempirical model to normalize the MSAVI (modified soil-adjusted vegetation index) response to a nadir, regardless of view/direction angle. We further advanced this model to account simultaneously for both Sun and view angle variations by introducing a shadow parameterization. The results showed that this model can be used to monitor the vegetation status using a single view/Sun configuration throughout the growing season. We therefore believe that we have taken a further step toward the development of a multidirectional vegetation index.
引用
收藏
页码:1281 / 1286
页数:6
相关论文
共 28 条